Regenerating Codes For Distributed Storage.

Abstract

In distributed storage systems, large amounts of data
are distributed across many nodes, which are prone to failure. In this talk,
I'll survey regenerating codes, which are a type of error correcting code
designed to protect data in distributed systems from failures, while at the same
time enabling extremely efficient repair of missing data. I'll give the basic
framework of regenerating codes, and discuss some recent research aimed at
establishing theoretical limitations regenerating codes from an algebraic
perspective.

Biography

Mary Wootters is an assistant professor of Computer Science and
Electrical Engineering at Stanford University. She received a PhD in
mathematics from the University of Michigan in 2014 and a BA in math and
computer science from Swarthmore College in 2008; she was an NSF
postdoctoral fellow at Carnegie Mellon University from 2014 to 2016. Her
research interests include randomized algorithms, coding theory, dimension
reduction, matrix completion, and sparse signal processing